【摘要】 在前人研究基础上,提出了一种基于SPOT5图像和DEM数据自动提取泥石流的方法。首先利用归一化差值植被指数(NDVI)、归一化差值土壤亮度指数(NDSI)和图像经主成分变换得到的第一主成分(PC1)等3种遥感指数获取新的主成分变换图像,进而利用阈值自动选取算法提取包含泥石流的裸地信息;然后基于1∶10 000的DEM数据,利用改进的沟谷中心线提取算法提取沟谷中心线,并利用数学形态学滤波算法生成沟谷范围;最后将提取的疑似泥石流图斑与沟谷范围匹配,并对矢量化后的结果进行面积、坡度和顺坡性等筛选,得到泥石流或潜在泥石流信息。实验表明,本文构建的泥石流提取模型具有较高的提取精度和效率。更多还原

【Abstract】 Based on achievements obtained by previous researchers,the authors put forward a method for automatically extracting debris flow based on SPOT5 image and DEM data.Firstly,this method uses integrated computing of three indices of remote sensing,i.e.,the index of vegetation,the soil brightness index and the first principal component of the image after KL transformation,for the acquisition of a new principal component transformed image,and then extracts the bare land information containing debris flow by using automatic threshold selection algorithm.Secondly,on the basis of the DEM data at the scale of 1:10 000,the valley central lines are extracted by using the improved valley line extraction algorithm,and the valley range is figured out by using the mathematical morphology filtering algorithm.Finally,the suspicious debris flow pattern is matched with the valley range pattern,and the vectorized result is screened in the aspects of area and slope.On such a basis,the information of existing or potential debris flows is obtained.The experimental results show that the extraction model of debris information from SPOT5 image can accurately and effectively extract the debris flow information.更多还原